Title |
Hemispheric Asymmetry for Affective Stimulus Processing in Healthy Subjects–A fMRI Study
|
---|---|
Published in |
PLOS ONE, October 2012
|
DOI | 10.1371/journal.pone.0046931 |
Pubmed ID | |
Authors |
Esther Beraha, Jonathan Eggers, Catherine Hindi Attar, Stefan Gutwinski, Florian Schlagenhauf, Meline Stoy, Philipp Sterzer, Thorsten Kienast, Andreas Heinz, Felix Bermpohl |
Abstract |
While hemispheric specialization of language processing is well established, lateralization of emotion processing is still under debate. Several conflicting hypotheses have been proposed, including right hemisphere hypothesis, valence asymmetry hypothesis and region-specific lateralization hypothesis. However, experimental evidence for these hypotheses remains inconclusive, partly because direct comparisons between hemispheres are scarce. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Egypt | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 125 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Portugal | 1 | <1% |
Germany | 1 | <1% |
Switzerland | 1 | <1% |
Brazil | 1 | <1% |
Finland | 1 | <1% |
United Kingdom | 1 | <1% |
Unknown | 119 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 33 | 26% |
Student > Master | 14 | 11% |
Student > Bachelor | 12 | 10% |
Researcher | 11 | 9% |
Student > Doctoral Student | 9 | 7% |
Other | 21 | 17% |
Unknown | 25 | 20% |
Readers by discipline | Count | As % |
---|---|---|
Psychology | 42 | 34% |
Neuroscience | 18 | 14% |
Medicine and Dentistry | 11 | 9% |
Agricultural and Biological Sciences | 6 | 5% |
Computer Science | 4 | 3% |
Other | 9 | 7% |
Unknown | 35 | 28% |